AI Safety and Alignment Grant Program

AI Safety and Alignment Grant Program is a grant from Longview Philanthropy, administered through the Emerging Challenges Fund, that funds organizations working to address global catastrophic risks from emerging technologies, including advanced AI systems, nuclear weapons, and biotechnology.

The program supports research, policy, and advocacy aimed at ensuring AI development benefits humanity and prevents authoritarianism or other catastrophic outcomes from emerging technologies. Grants are directed toward organizations where additional funding can quickly make a major difference. Eligible applicants include nonprofits and research institutions.

Grant awards range from $100,000 to $1,500,000. No deadline is specified; letters of inquiry may be submitted on a rolling basis.

Emerging Challenges Fund - Longview Philanthropy The Emerging Challenges Fund supports organisations that address global catastrophic risks from emerging technologies. Longview partners with Giving What We Can to manage donations to this fund.

Through the Emerging Challenges Fund, we offer anyone the opportunity to contribute to a pooled, thesis-driven fund that our expert grantmaking teams will direct to outstanding organizations where additional funding can quickly make a major difference. Over the next decade, emerging technologies will pose significant challenges to global security.

Rapid advances in artificial intelligence could create advanced AI systems with goals that diverge from human interests and grant authoritarians unprecedented means of control. We face rising nuclear and biological risks as advances accelerate and automate elements of nuclear decision-making and lower the barriers for malicious actors to execute large-scale biological attacks. We aim to prepare the world for these challenges.

In selecting projects, the ECF considers Longview’s usual grantmaking criteria and two further tests: Does the project have a legible theory of impact? ECF grantees must have a compelling, transparent, and public case for how their activities will have an impact that appeals to a wide range of donors. Will the project benefit from diverse funding?

Policy organizations sometimes benefit from the support of the ECF’s 2000+ donors when demonstrating their independence from major funders and industry actors. ECF grantees often, though not always, pass this test. In 2025, ECF donors supported organizations advancing both policy and research.

On the policy side, grantees worked to shape frontier AI governance in the US and Europe, including by building government capacity through talent pipelines and facilitating discussions on AI and arms control between the US and China. On the research side, we funded groups evaluating AI system capabilities, their potential misuse by malicious actors, and the broader societal implications of rapid AI progress.

For those seeking to invest in a safer future, this fund provides unique expertise across beneficial AI, biosecurity, and nuclear weapons policy and fills critical funding gaps at organisations in need of rapid financial support and a diversity of donors. Longview’s focus—and the source of most of our impact—is helping major donors give. Give to our private funds.

For donors giving over $100K, we offer access to our private frontier AI, digital sentience, and nuclear weapons policy funds. Our private fund reports are sent directly to donors rather than distributed publicly, allowing us to use those funds to support confidential, risky, or large-scale projects. Get bespoke advice.

For major donors seeking to develop significant philanthropic portfolios, we provide a personalized end-to-end service at no cost. This includes detailed analysis, expert-led learning series, residential summits, tailored strategic planning, grant recommendations, due diligence, and impact assessment. Please get in touch with our CEO, Simran Dhaliwal, at simran@longview.

org . Interpretability at Harvard University Looking inside modern AI systems Frontier AI models are a black box. Today we have almost no ability to understand why the most powerful AI systems make the decision that they do, making AI systems unpredictable and difficult to align with human values.

A new lab at Harvard University is trying to change that through their work on “mechanistic interpretability”, a field of research to understand how networks function internally. On our recommended grant, Harvard researchers will progress their work to locate specific concepts and facts within a neural network.

Blueprint Biosecurity far-UVC work Testing technology for clean air Certain wavelengths of germicidal light called ‘far-UVC’ inactivate pathogens in the air and on surfaces while appearing to be safe for humans. Could this be a powerful tool for reducing the spread of infectious disease, and even stop or slow the next outbreak which would become a pandemic?

This funding will be used to commission research into how much far-UVC is likely to reduce pathogen transmission, and its safety profile, making it possible to understand how best to deploy it.

Carnegie Endowment for International Peace Studying escalation pathways to nuclear war This recommendation was for a project aiming to develop a common understanding about escalation pathways to nuclear war and what policy interventions are most likely to contribute to risk mitigation.

Specifically, the project will involve research workshops whereby a diverse range of experts within fields relevant to nuclear security and risk analysis convene to analyse potential escalation pathways, attempt to estimate their likelihood, identify potential levers to reduce or mitigate this risk, and compare these various pathways and levers more holistically. We describe our 2025 grantmaking in our 2025 Annual Report .

For older grants, please consult the grant reports below. December 2023 Grants Report August 2023 Grants Report The Emerging Challenges Fund is managed by Longview Philanthropy, with support from Giving What We Can. Donations to the Emerging Challenges Fund through Giving What We Can’s website are donations to Giving What We Can.

All funds are disbursed based on recommendations by Longview Philanthropy. Simran coordinates Longview Philanthropy’s research, grantmaking, and advising work. Prior to joining, she was a research analyst at Goldman Sachs, working on a two-person team recognised as the best sell-side stockpickers in London in 2018.

While there, she also became a Chartered Financial Analyst (CFA) charterholder and was donating to high-impact charities. Simran read philosophy, politics, and economics at the University of Oxford, where she first came across the concept of using evidence and reason to do the most good at a Giving What We Can talk.

Nuclear Weapons Policy Programme Director Carl leads Longview’s programme on nuclear weapons policy and co-manages Longview’s Nuclear Weapons Policy Fund . For more than a decade, Carl led grantmaking in nuclear security at the Carnegie Corporation of New York , a philanthropic fund which grants over $30 million annually to strengthen international peace and security.

Carl previously worked with The Century Foundation and the Global Security Institute , where his extensive research spanned arms control, international security policy, and nonproliferation. Nuclear Weapons Policy Programme Officer Matthew conducts grant investigations for Longview’s programme on nuclear weapons policy and co-manages its Nuclear Weapons Policy Fund.

His prior work spanned emerging technology threat and policy assessment, focusing on how advancements in AI may shape influence operations, nuclear strategy, and cyber attacks. He has worked as a policy researcher with OpenAI, an analyst in the US Department of Defense’s Innovation Steering Group, and director of research and analysis at the US National Security Commission on Artificial Intelligence.

Aidan conducts grant investigations in artificial intelligence (AI), with a particular focus in technical research on AI safety. Before joining Longview, he conducted research on machine learning and AI policy at GovAI, Epoch, Cornell University, AI Impacts, and the Center for AI Safety. He also spent three years leading the data science team at a fintech startup.

Alongside his work at Longview, Aidan is a DPhil candidate in AI at Oxford University. Zach conducts grant investigations in artificial intelligence (AI). He completed his PhD in economics at Stanford University, where he received support from the National Science Foundation, the Forethought Foundation for Global Priorities Research, and the Stanford Institute for Economic Policy Research.

Zach has conducted research covered by The New York Times, Reuters, Marginal Revolution, and Vox. Before that, he was a Research Analyst at Innovations for Poverty Action and the Global Poverty Research Lab at Northwestern University.

Longview Philanthropy is a project of Longview Inc. Ltd, a not-for-profit company limited by guarantee in the UK (company number 14444004) and Longview Philanthropy USA Inc., a 501(c)(3) organization in the USA (EIN 93-2664730). Longview Inc. Ltd and Longview Philanthropy USA Inc. are separate entities that collaborate closely under the “Longview Philanthropy” name. Read more about our organisational structure .

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